AWS Certified Machine Learning: Athena, QuickSight, & EMR

Amazon Web Services 2021
  • 13 Videos | 36m 46s
  • Earns a Badge
Amazon offers a wide range of services that help enhance AWS workflows, making it much easier to create automated data processing and machine learning pipelines. Use this course to get to grips with some of these services. Explore how Amazon Athena is used for querying data and how Amazon QuickSight integrates with Athena to help decision-makers analyze data and interpret information in an interactive visual environment. Then, get hands-on practice working with both tools. Moving along, learn how Amazon EMR is used to process large amounts of data and investigate its integrations with various Apache frameworks, such as Hadoop and Spark. When you're done, you'll know how to use Amazon services to automate machine learning processes, further preparing you for the AWS Certified Machine Learning – Specialty certification exam.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    describe how Amazon Athena works and its use cases
    describe how tables, databases, and data catalogs work in Amazon Athena and how to query data from other AWS services in Athena
    work with Amazon Athena to create databases and tables and run queries
    describe Amazon QuickSight and its use cases
    define the main Amazon QuickSight processes and terms
    work with Amazon QuickSight to create a simple multi-visual analysis and a dashboard
  • work with data, analyses, visuals, ML insights, and dashboards in Amazon QuickSight
    outline how Amazon Elastic MapReduce (EMR) works and list its benefits
    describe the use cases for Amazon Elastic MapReduce (EMR), recognize when to deploy it, and compare EMR and Glue
    outline how the Apache Hadoop open-source framework works with Amazon Elastic MapReduce (EMR) and its real-world use cases
    describe how the Apache Spark open-source framework works with Amazon Elastic MapReduce (EMR) and its real-world use cases
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 18s
    UP NEXT
  • Playable
    2. 
    What Is Amazon Athena?
    2m 49s
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    3. 
    Tables, Databases, and Data Catalogs in Athena
    1m 56s
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    4. 
    Working with Athena to Create Tables and Run Queries
    7m 16s
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    5. 
    What Is Amazon QuickSight?
    1m 50s
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    6. 
    Amazon QuickSight Terminology
    1m 34s
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    7. 
    Creating Multi-visual Analyses in Amazon QuickSight
    5m 57s
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    8. 
    Working with Amazon QuickSight for Multiple ML Tasks
    5m 43s
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    9. 
    Data Processing: Amazon Elastic MapReduce (EMR)
    2m 15s
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    10. 
    Amazon Elastic MapReduce (EMR) Use Cases
    2m 6s
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    11. 
    Amazon Elastic MapReduce (EMR) and Apache Hadoop
    2m 8s
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    12. 
    Amazon Elastic MapReduce (EMR) and Apache Spark
    1m 20s
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    13. 
    Course Summary
    34s

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